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Data Science Manager

2 months ago

Columbia, South Carolina, United States Blend360 Full time
About Blend360

Blend360 is a leading provider of data-driven solutions for businesses. Our team of experts works closely with clients to understand their unique challenges and develop tailored strategies to drive growth and improvement.

Job Description

We are seeking a highly skilled Data Science Director to join our team. As a key member of our leadership team, you will be responsible for leading our data science efforts and driving business growth through data-driven insights.

Key Responsibilities
  • Lead a team of data scientists to design, monitor, and evaluate marketing experiments intended to validate MMM assumptions.
  • Develop and implement optimization models to help clients improve decision-making processes, enhance efficiency, and drive business growth.
  • Analyze team KPIs, develop solutions, and alternative methods to achieve goals.
  • Build positive and productive relationships with clients to drive business growth.
  • Work as a strategic partner with leadership teams to support client needs.
  • Develop project plans, including milestones, dates, owners, and risks, and contingency plans.
  • Create and maintain efficient data pipelines, often within clients' architecture.
  • Assemble large, complex data sets from client and external sources that meet functional business requirements.
  • Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform.
  • Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making.
  • Train, validate, and cross-validate predictive models and machine learning algorithms using state-of-the-art Data Science techniques and tools.
Qualifications
  • MS degree in Statistics, Math, Data Analytics, or a related quantitative field.
  • Expert in experimentation and measurement in marketing, with knowledge of how to run experiments in different marketing channels.
  • 3+ years of professional experience in Advanced Data Science, including predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, and optimization.
  • Experience in the Pharma domain.
  • Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS).
  • Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches.
  • Experience with SQL and relational databases, query authoring and tuning, as well as working familiarity with a variety of databases, including Hadoop/Hive.
  • Experience with Spark and data-frames in PySpark or Scala.
  • Strong problem-solving skills, with the ability to pivot complex data to answer business questions.
  • Comfortable with cloud-based platforms (AWS, Azure, Google).
  • Experience with Google Analytics, Adobe Analytics, Optimizely a plus.